Electrographic Seizure Management and Neurobehavioral Outcomes in Critically Ill Children

Overview

Electrographic seizures are common in critically ill patients leading to increased use of resource-intense continuous EEG monitoring for seizure identification and management. When identified, electrographic seizures are generally treated with anti-seizure medications, but there are very limited data available regarding optimal treatment in terms of the efficacy or safety of specific anti-seizure medications or overall management strategies. This is a single-center prospective observational study. The investigators aim to: (1) track critically ill patients undergoing clinically indicated EEG monitoring and seizure management to identify risk factors for electrographic seizures, (2) create prediction models guiding EEG monitoring resources to the patients at highest risk for seizures, and (3) evaluate our current management strategy in terms of safety.

Study Type

  • Study Type: Observational
  • Study Design
    • Time Perspective: Prospective
  • Study Primary Completion Date: January 1, 2027

Detailed Description

Context: Electrographic seizures are common in critically ill patients leading to increased use of resource-intense continuous EEG monitoring for seizure identification and management. When identified, electrographic seizures are generally treated with anti-seizure medications, but there are very limited data available regarding optimal treatment in terms of specific medication selections or overall management strategies. The Children's Hospital of Philadelphia (CHOP) has a formal ICU EEG Monitoring Pathway aiming to standardize EEG monitoring and seizure management. This is a single-center prospective observational study of patients undergoing clinically indicated EEG monitoring to identify risk factors for electrographic seizures and create prediction models guiding limited EEG monitoring resources to the patients at highest risk for seizures, and also to evaluate the current seizure management strategy in terms of safety. Objectives: The primary objective is to identify risk factors for electrographic seizures in critically ill patients and use these risk factors to create and validate a seizure prediction model. The secondary objective is to evaluate the safety of a targeted and timely electrographic seizure identification and management strategy among critically ill patients guided by a CHOP ICU EEG Monitoring Pathway. Study Design: Single center observational study of consecutive patients undergoing clinically indicated EEG monitoring. Setting/Participants: Single-center study of critically ill children in the Pediatric ICU at CHOP undergoing clinically indicated EEG monitoring and seizure management.

Interventions

  • Other: Clinically indicated EEG monitoring.
    • Children enrolled in the study will be undergoing clinically indicated EEG monitoring. Some children will undergo clinically indicated electrographic seizure management.

Arms, Groups and Cohorts

  • Cohort
    • Critically ill child undergoing clinically indicated EEG monitoring and electrographic seizure management.

Clinical Trial Outcome Measures

Primary Measures

  • Electrographic Seizure Occurrence
    • Time Frame: 3 days
    • Percentage of subjects who experience electrographic seizures.

Secondary Measures

  • Safety – Mortality
    • Time Frame: 5 days
    • Percentage of subjects with mortality related to electrographic seizure management.
  • Safety – Occurrence of Cardiopulmonary adverse effects
    • Time Frame: 5 days
    • Percentage of subjects with cardiopulmonary adverse effects related to electrographic seizure management. Cardiopulmonary problems include subcategories of anaphylactic reactions, bradycardia (<5th percentile for age), hypotension (<5th percentile for age), hypoxemia (saturation <90%), lactic acidosis (>2 mmol/l), and intubation requirement.
  • Safety – Occurrence of Organ Dysfunction
    • Time Frame: 5 days
    • Percentage of subjects with organ dysfunction adverse effects related to electrographic seizure management. Organ dysfunction that will include subcategories of allergic skin manifestations, acute kidney injury, hepatitis and acute liver injury, coagulopathy, and cytopenias (rbc, wbc, platelets).
  • Safety -Occurrence of Hospital Acquired Infections
    • Time Frame: 5 days
    • Percentage of subjects with hospital acquired infection adverse effects related to electrographic seizure management. Hospital acquired infections that will include subcategories of central line associated bloodstream infections, urinary tract infection, and ventilator associated pneumonia.

Participating in This Clinical Trial

Inclusion Criteria

1. Care in the Children's Hospital of Philadelphia Pediatric ICU. 2. Clinically indicated continuous EEG monitoring. 3. Age > 1 month to 18 years. Exclusion Criteria:

1. Admitted for Phase 2 (intracranial) EEG monitoring. 2. Intensivist expects to discontinue technological support in the next two days given underlying medical or neurological problems.

Gender Eligibility: All

Minimum Age: 1 Month

Maximum Age: 18 Years

Are Healthy Volunteers Accepted: No

Investigator Details

  • Lead Sponsor
    • Children’s Hospital of Philadelphia
  • Collaborator
    • National Institute of Neurological Disorders and Stroke (NINDS)
  • Provider of Information About this Clinical Study
    • Sponsor
  • Overall Official(s)
    • Nicholas S Abend, MD, Principal Investigator, Children’s Hospital of Philadelphia
  • Overall Contact(s)
    • Nicholas S Abend, MD, 215-590-1719, abend@chop.edu

References

Fung FW, Jacobwitz M, Vala L, Parikh D, Donnelly M, Xiao R, Topjian AA, Abend NS. Electroencephalographic seizures in critically ill children: Management and adverse events. Epilepsia. 2019 Oct;60(10):2095-2104. doi: 10.1111/epi.16341. Epub 2019 Sep 20. Erratum In: Epilepsia. 2020 Apr;61(4):839.

Fung FW, Jacobwitz M, Parikh DS, Vala L, Donnelly M, Fan J, Xiao R, Topjian AA, Abend NS. Development of a model to predict electroencephalographic seizures in critically ill children. Epilepsia. 2020 Mar;61(3):498-508. doi: 10.1111/epi.16448. Epub 2020 Feb 20.

Fung FW, Parikh DS, Donnelly M, Xiao R, Topjian AA, Abend NS. Electrographic Seizure Characteristics and Electrographic Status Epilepticus Prediction. J Clin Neurophysiol. 2024 Jan 9. doi: 10.1097/WNP.0000000000001068. Online ahead of print.

Fung FW, Parikh DS, Massey SL, Fitzgerald MP, Vala L, Donnelly M, Jacobwitz M, Kessler SK, Xiao R, Topjian AA, Abend NS. Periodic Discharges in Critically Ill Children: Predictors and Outcome. J Clin Neurophysiol. 2023 Dec 1. doi: 10.1097/WNP.0000000000000986. Online ahead of print.

Fung FW, Parikh DS, Donnelly M, Jacobwitz M, Topjian AA, Xiao R, Abend NS. EEG Monitoring in Critically Ill Children: Establishing High-Yield Subgroups. J Clin Neurophysiol. 2023 Mar 10:10.1097/WNP.0000000000000995. doi: 10.1097/WNP.0000000000000995. Online ahead of print.

Fung FW, Fan J, Parikh DS, Vala L, Donnelly M, Jacobwitz M, Topjian AA, Xiao R, Abend NS. Validation of a Model for Targeted EEG Monitoring Duration in Critically Ill Children. J Clin Neurophysiol. 2023 Nov 1;40(7):589-599. doi: 10.1097/WNP.0000000000000940. Epub 2022 Apr 20.

Fung FW, Parikh DS, Massey SL, Fitzgerald MP, Vala L, Donnelly M, Jacobwitz M, Kessler SK, Topjian AA, Abend NS. Periodic and rhythmic patterns in critically ill children: Incidence, interrater agreement, and seizures. Epilepsia. 2021 Dec;62(12):2955-2967. doi: 10.1111/epi.17068. Epub 2021 Oct 12.

Fung FW, Wang Z, Parikh DS, Jacobwitz M, Vala L, Donnelly M, Topjian AA, Xiao R, Abend NS. Electrographic Seizures and Outcome in Critically Ill Children. Neurology. 2021 May 31;96(22):e2749-e2760. doi: 10.1212/WNL.0000000000012032.

Fung FW, Parikh DS, Jacobwitz M, Vala L, Donnelly M, Wang Z, Xiao R, Topjian AA, Abend NS. Validation of a model to predict electroencephalographic seizures in critically ill children. Epilepsia. 2020 Dec;61(12):2754-2762. doi: 10.1111/epi.16724. Epub 2020 Oct 16.

Fung FW, Fan J, Vala L, Jacobwitz M, Parikh DS, Donnelly M, Topjian AA, Xiao R, Abend NS. EEG monitoring duration to identify electroencephalographic seizures in critically ill children. Neurology. 2020 Sep 15;95(11):e1599-e1608. doi: 10.1212/WNL.0000000000010421. Epub 2020 Jul 20.

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